# czl9707/build-your-own-openclaw

A step-by-step guide to build your own AI agent.

Repository: https://github.com/czl9707/build-your-own-openclaw
Canonical: https://ross.abutalabs.com/products/build-your-own-openclaw
Homepage: https://build-your-own-openclaw.kiyo-n-zane.com/
Language: Python
License: MIT
License Family: permissive
Topics: ai-agent, tutorial, build-your-own-x, llm, python
Last push: 2026-07-08T00:16:40+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 91, release rhythm 35, longevity 12
- inputs: {"age_days": 175, "days_push": 57, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1876, forks 327 (observed 2026-08-28T04:05:47.754906+00:00)

## What it is
A step-by-step tutorial with 18 progressive lessons teaching how to build an AI agent from a simple chat loop to a lightweight multi-agent system inspired by OpenClaw. Each step includes explanatory documentation and a runnable Python codebase.

## Use cases
- learn how to build an ai agent from scratch
- understand llm tool calling and skills
- build a multi-agent system tutorial
- learn agent memory and conversation persistence
- build your own openclaw clone
- learn event-driven agent architecture
- add scheduled tasks and cron to an ai agent

## When to choose
- you want to learn agent internals by coding along in Python
- you prefer progressive, runnable examples over reading framework docs
- you want to understand tool use, skills, memory, and multi-agent routing concepts

## When to avoid
- you need a production-ready agent framework rather than a learning exercise
- you work in a language other than Python
- you want a no-code or fully managed agent solution

## Facets
- artifact type: learning-resource
- maturity: active
- function: agent-framework, llm-inference, chatbot, prompt-engineering, developer-tools
- domain: artificial-intelligence, large-language-models, tutorials, developer-tools
- platform: python, cli, cross-platform
- tags: build-your-own-x, step-by-step-tutorial, multi-agent, event-driven, tool-use, agent-memory, ai-agents

## Member repositories
- czl9707/build-your-own-openclaw (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:47.754906+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:14:43.640784+00:00, confidence not recorded.
  - readme: https://github.com/czl9707/build-your-own-openclaw (fetched 2026-08-28T04:05:47.754906+00:00, sha f8a71cc93694)
  - homepage: https://build-your-own-openclaw.kiyo-n-zane.com/ (fetched 2026-08-29T10:53:36.250150+00:00, sha 6c37cb70a85c)
- Data as of 2026-08-30T08:39:29.467469+00:00.